Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- University of Oxford
- KINGS COLLEGE LONDON
- Durham University
- University of Cambridge
- University of London
- Heriot Watt University
- King's College London
- University of Liverpool
- University of Glasgow
- DURHAM UNIVERSITY
- Nature Careers
- University of Birmingham
- University of Nottingham
- University of Sheffield
- ; Swansea University
- ; Technical University of Denmark
- ; The University of Edinburgh
- AALTO UNIVERSITY
- Aston University
- Imperial College London
- Liverpool John Moores University
- Oxford Brookes University
- St George's University of London
- Swansea University
- UNIVERSITY OF VIENNA
- 16 more »
- « less
-
Field
-
scientists, and researchers working on medical image analysis, machine learning, and audiology. Our recent work has focused on using deep learning to analyse temporal bone CT scans and brain MRI data in
-
of the project is to design, implement, and utilise a new beamline for ultrafast science with ultrabroadband optical attosecond pulses. The work will involve both ultrafast pulse compression and frequency
-
methods to study human bone marrow models using high content imaging approaches. You will lead in designing and establishing new protocols to the laboratory as well as supporting, mentoring and training
-
on autofluorescence (AF) imaging and Raman spectroscopy for detection of metastatic lymph nodes during breast cancer surgery. Engaging with and reporting to Dr Alexey A. Koloydenko (Department of
-
imaging approaches. You will lead in designing and establishing new protocols to the laboratory as well as supporting, mentoring and training other members of the group. You will hold a PhD in cancer
-
or orthotopic tumour models Supporting preclinical treatment studies involving standard-of-care or experimental agents Applying in vivo imaging techniques (e.g., bioluminescence imaging) to monitor tumour
-
and assessment of ocular inflammation models, such as intravitreal injections, ocular imaging techniques and flow cytometry. Moreover, applicants will perform a variety of additional procedures such as
-
, imaging and communication systems and (ii) Leonardo UK, providing application expertise and end-user feedback. The applicant will be expected to work directly with Dr. Yoann Altmann, Prof. Steve McLaughlin
-
fluorescence-lifetime detection (Fast-FLIM) and temporal focusing. This instrument will deliver quantitative, sub-second imaging of live three-dimensional cell-culture and organoid models, advancing fundamental
-
potential applications in audio and music processing. Standard neural network training practices largely follow an open-loop paradigm, where the evolving state of the model typically does not influence